| Session Title | FR3.R11: Digital Agriculture with Machine Learning and Remote Sensing II |
|---|---|
| Presentation Mode | Oral |
| Session Time | Friday, 02 August, 13:40 - 15:20 |
| Location | Room 419 |
| Session Chair | Dharmendra Singh, Indian Institute of Technology, Roorkee |
| FR3.R11.1: MAXIMUM MEMBERSHIP FRACTION BASED PURE PIXEL ASSESSMENT APPROACH FOR HYPERSPECTRAL DATA ANALYSIS USING DEEP LEARNING |
| S. N. Chaudhri; Indian Institute of Technology BHU (Banaras Hindu University) |
| N. S. Rajput; Indian Institute of Technology BHU (Banaras Hindu University) |
| K. P. Singh; Indian Institute of Technology BHU (Banaras Hindu University) |
| D. Singh; Indian Institute of Technology, Roorkee |
| FR3.R11.2: IMPROVED UTILIZATION OF POLSAR POLARIZATION SIGNATURES USING CONVOLUTIONAL-DEEP NEURAL NETS FOR LAND COVER CLASSIFICATION |
| Gopal Phartiyal; Indian Institute of Technology Roorkee |
| Dharmendra Singh; Indian Institute of Technology Roorkee |
| Nicolas Brodu; INRIA |
| Hussein Yahia; INRIA |
| FR3.R11.3: A STEP TOWARDS DIGITAL AGRICULTURE FOR DEVELOPMENT OF OBJECT BASED PHENOLOGY APPROACH TO CLASSIFY SUGARCANE AND PADDY CROPS USING MULTISENSOR DATA |
| Deepak Murugan; IIT Roorkee |
| Dharmendra Singh; IIT Roorkee |
| FR3.R11.4: DEVELOPMENT OF MACHINE LEARNING BASED APPROACH FOR COMPUTING OPTIMAL VEGETATION INDEX WITH THE USE OF SENTINEL-2 AND DRONE DATA |
| Ankush Agarwal; IIT Roorkee |
| Sandeep Kumar; IIT Roorkee |
| Dharmendra Singh; IIT Roorkee |
| FR3.R11.5: IN-SEASON PREDICTION OF CROP TYPES IN THE US GREAT PLAINS USING SEQUENCE BASED STOCHASTIC MODELS AND DEEP LEARNING |
| Subit Chakrabarti; Indigo Agriculture |
| Rob Braswell; Indigo Agriculture |
| Nick Malizia; Indigo Agriculture |
| Damien Sulla-Menashe; Indigo Agriculture |
| Tina Cormier; Indigo Agriculture |
| Mark Friedl; Boston University |